Mr. Kangzhi Qin Profile

Kangzhi Qin

at Southwest Jiaotong Univ

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 18 January 2019 Paper

Application of variational mode decomposition method in Fourier transform profilometry

Kangzhi Qin, Yu Zhang, Jinlong Li

Proceedings Volume 10839, 108390L (2019) https://doi.org/10.1117/12.2504936

KEYWORDS: 3D image reconstruction, 3D acquisition, Fringe analysis, Fourier transforms

Read Abstract +

For the spectrum overlapping problem caused by the fundamental frequency component and the zero-frequency component in the Fourier Transform Profilometry (FTP), a new method based on Two-Dimensional Variational Mode Decomposition (2DVMD) is proposed to extract the fundamental frequency components, and it can adaptively decompose the fringe pattern into background part and fringe part. Comparing 2DVMD method and Bidmensional Empirical Mode Decomposition (BEMD) method in zero-frequency components removing, it is found that 2DVMD method can perfectly separate the fundamental frequency component from the zero-frequency component and can extract the fundamental frequency information completely, thus avoiding the loss of the fundamental frequency information caused by filtering. Then the inverse Fourier transform and the phase unwrapping algorithm are performed to the extracted fundamental frequency component, it can effectively recover the abrupt change information of the measured object. Numerical simulations and experimental results show that the FTP based on 2DVMD method can reconstruct the details of the measured object more effectively than the FTP based on filtering method.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years